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NIPS
2007
15 years 8 months ago
Semi-Supervised Multitask Learning
A semi-supervised multitask learning (MTL) framework is presented, in which M parameterized semi-supervised classifiers, each associated with one of M partially labeled data mani...
Qiuhua Liu, Xuejun Liao, Lawrence Carin
NIPS
2004
15 years 8 months ago
An Information Maximization Model of Eye Movements
We propose a sequential information maximization model as a general strategy for programming eye movements. The model reconstructs high-resolution visual information from a sequen...
Laura Walker Renninger, James M. Coughlan, Preeti ...
NIPS
1996
15 years 8 months ago
Radial Basis Function Networks and Complexity Regularization in Function Learning
In this paper we apply the method of complexity regularization to derive estimation bounds for nonlinear function estimation using a single hidden layer radial basis function netwo...
Adam Krzyzak, Tamás Linder
HM
2010
Springer
133views Optimization» more  HM 2010»
15 years 7 months ago
A Hybrid LS-CP Solver for the Shifts and Breaks Design Problem
The problem of designing workforce shifts and break patterns is a relevant employee scheduling problem that arises in many contexts, especially in service industries. The issue is ...
Luca Di Gaspero, Johannes Gärtner, Nysret Mus...
AAAI
2010
15 years 7 months ago
Algorithms for Finding Approximate Formations in Games
Many computational problems in game theory, such as finding Nash equilibria, are algorithmically hard to solve. This limitation forces analysts to limit attention to restricted su...
Patrick R. Jordan, Michael P. Wellman